ibaraki-kotu — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 8.0.1 at 2026-09-11T21:04:43Z,
for the dataset file:///shared/ibaraki-kotu_d7578549.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included


Feed Info


Publisher Name:
ジョルダン株式会社
Feed Email:
N/A
Feed Language:
Japanese
Feed Start Date:
2026-09-01
Feed End Date:
2027-02-28

Files included


  1. agency.txt
  2. agency_jp.txt
  3. calendar.txt
  4. calendar_dates.txt
  5. fare_attributes.txt
  6. fare_rules.txt
  7. feed_info.txt
  8. pass_attributes.txt
  9. pass_rules.txt
  10. routes.txt
  11. stop_times.txt
  12. stops.txt
  13. translations.txt
  14. trips.txt

Counts


  • Agencies: 1
  • Blocks: 0
  • Routes: 534
  • Shapes: 0
  • Stops: 4146
  • Trips: 3542

Specification Compliance report

100318 notices reported (20 errors, 100146 warnings, 152 infos)

Notice Code Severity Total
decreasing_or_equal_stop_time_distance ERROR 17

decreasing_or_equal_stop_time_distance

Decreasing or equal shape_dist_traveled in stop_times.txt.

When sorted by stop_times.stop_sequence, two consecutive entries in stop_times.txt should have increasing distance, based on the field shape_dist_traveled. If the values are equal, this is considered as an error.

You can see more about this notice here.

tripId (?) The id of the faulty trip. stopId (?) The id of the faulty stop. csvRowNumber (?) The row number from `stop_times.txt`. shapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the faulty record. stopSequence (?) The faulty record's `stop_times.stop_sequence`. prevCsvRowNumber (?) The row number from `stop_times.txt` of the previous stop time. prevShapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the previous stop time. prevStopSequence (?) The previous record's `stop_times.stop_sequence`.
"T0806003247" "S080600108900000" 49919 700.0 3 49918 700.0 2
"T0806003246" "S080600108900000" 49896 700.0 3 49895 700.0 2
"T0806003216" "S080600107300001" 49638 8500.0 21 49637 8500.0 20
"T0806003217" "S080600107300001" 49661 8500.0 21 49660 8500.0 20
"T0806003214" "S080600107300001" 49592 8500.0 21 49591 8500.0 20
"T0806003215" "S080600107300001" 49615 8500.0 21 49614 8500.0 20
"T0806003213" "S080600107300001" 49569 8500.0 21 49568 8500.0 20
"T0806003218" "S080600107300001" 49684 8500.0 21 49683 8500.0 20
"T0806003236" "S080600108900000" 49850 700.0 3 49849 700.0 2
"T0806003237" "S080600108900000" 49873 700.0 3 49872 700.0 2
"T0806003234" "S080600108900000" 49804 700.0 3 49803 700.0 2
"T0806003235" "S080600108900000" 49827 700.0 3 49826 700.0 2
"T0806003232" "S080600108900000" 49758 700.0 3 49757 700.0 2
"T0806003233" "S080600108900000" 49781 700.0 3 49780 700.0 2
"T0806003230" "S080600108900000" 49712 700.0 3 49711 700.0 2
"T0806003231" "S080600108900000" 49735 700.0 3 49734 700.0 2
"T0806003229" "S080600107300001" 49707 8500.0 21 49706 8500.0 20
missing_required_column ERROR 3

missing_required_column

A required column is missing in the input file.

You can see more about this notice here.

filename (?) The name of the faulty file. fieldName (?) The name of the missing column.
"translations.txt" "field_name"
"translations.txt" "language"
"translations.txt" "table_name"
duplicate_route_name WARNING 207

duplicate_route_name

Two distinct routes have either the same route_short_name, the same route_long_name, or the same combination of route_short_name and route_long_name.

All routes of the same route_type with the same agency_id should have unique combinations of route_short_name and route_long_name.

Note that there may be valid cases where routes have the same short and long name, e.g., if they serve different areas. However, different directions must be modeled as the same route.

Example of bad data:

route_id route_short_name route_long_name
route1 U1 Southern
route2 U1 Southern

You can see more about this notice here.

Only the first 50 of 207 affected records are displayed below.

csvRowNumber1 (?) The row number of the first occurrence. routeId1 (?) The id of the the first occurrence. csvRowNumber2 (?) The row number of the other occurrence. routeId2 (?) The id of the the other occurrence. routeShortName (?) Common `routes.route_short_name`. routeLongName (?) Common `routes.route_long_name`. routeTypeValue (?) Common `routes.route_type`. agencyId (?) Common `routes.agency_id`.
2 "R080600290000000" 3 "R080600290010000" "" "19日立駅~金沢団地~下台原" 3 "6050001006333"
2 "R080600290000000" 4 "R080600290020000" "" "19日立駅~金沢団地~下台原" 3 "6050001006333"
6 "R080600292000000" 7 "R080600292010000" "" "1多賀駅~神峰営業所" 3 "6050001006333"
8 "R080600293000000" 9 "R080600293010000" "" "28多賀駅~中丸団地" 3 "6050001006333"
13 "R080600298000000" 14 "R080600298010000" "" "3・4多賀駅~日立駅[中央線]" 3 "6050001006333"
15 "R080600299000000" 16 "R080600299010000" "" "3・4日立駅~ケーズ電気~霊園" 3 "6050001006333"
17 "R080600301000000" 18 "R080600301010000" "" "3・4日立駅~多賀中~霊園" 3 "6050001006333"
19 "R080600303000000" 20 "R080600303010000" "" "34多賀駅~堂平団地" 3 "6050001006333"
21 "R080600305000000" 22 "R080600305010000" "" "40日立駅~諏訪大平~神峰営" 3 "6050001006333"
25 "R080600308000000" 26 "R080600308010000" "" "42神峰営業所~成沢団地" 3 "6050001006333"
27 "R080600309000000" 28 "R080600309010000" "" "42成沢団地~銀行前~日立駅" 3 "6050001006333"
31 "R080600313000000" 32 "R080600313010000" "" "47神峰営~日製病院~堂平団地" 3 "6050001006333"
38 "R080600319000000" 39 "R080600319010000" "" "54日立駅~山崎工場" 3 "6050001006333"
40 "R080600320000000" 41 "R080600320010000" "" "54日立駅~山崎工場[直通]" 3 "6050001006333"
46 "R080600325000000" 47 "R080600325010000" "" "60日立駅~神峰公園口~東河内" 3 "6050001006333"
49 "R080600784000000" 50 "R080600784010000" "" "65日立駅~高鈴台公民館" 3 "6050001006333"
51 "R080600327000000" 52 "R080600327010000" "" "65日立駅~芝内~高鈴台団地" 3 "6050001006333"
55 "R080600330000000" 56 "R080600330010000" "" "75小木津駅~公園口~日立駅" 3 "6050001006333"
57 "R080600764000000" 58 "R080600764010000" "" "77日立駅~豊良台~十王駅" 3 "6050001006333"
59 "R080600332000000" 60 "R080600332010000" "" "80日立駅~田尻~川尻海岸" 3 "6050001006333"
61 "R080600333000000" 62 "R080600333010000" "" "82日製山側門~日立駅~鞍掛山" 3 "6050001006333"
63 "R080600334000000" 64 "R080600334010000" "" "82日立駅~鞍掛山" 3 "6050001006333"
65 "R080600335000000" 66 "R080600335010000" "" "83十王駅~滑川十文字~日立駅" 3 "6050001006333"
67 "R080600337000000" 68 "R080600337010000" "" "84日立駅~田尻団地" 3 "6050001006333"
69 "R080600766000000" 70 "R080600766010000" "" "91日立南営~大甕駅" 3 "6050001006333"
71 "R080600767000000" 72 "R080600767010000" "" "95日立南~坂本東小~大甕駅西" 3 "6050001006333"
75 "R080600342000000" 76 "R080600342010000" "" "イオン水戸内原~鯉渕営業所" 3 "6050001006333"
77 "R080600769000000" 78 "R080600769010000" "" "イオン水戸内原~石塚車庫" 3 "6050001006333"
79 "R080600343000000" 80 "R080600343010000" "" "イオン水戸内原~赤塚駅~水戸駅" 3 "6050001006333"
81 "R080600344000000" 82 "R080600344010000" "" "イオン水戸内原~内原駅" 3 "6050001006333"
84 "R080600711000000" 85 "R080600711020000" "" "おさかなC~大甕駅西~多賀駅" 3 "6050001006333"
87 "R080600713000000" 88 "R080600713010000" "" "モビリティRもてぎ~水戸駅北口" 3 "6050001006333"
92 "R080600353000000" 93 "R080600353010000" "" "茨大前~アクア~那珂湊駅" 3 "6050001006333"
94 "R080600354000000" 95 "R080600354010000" "" "茨大前~茨大正門~栄町~水戸駅" 3 "6050001006333"
96 "R080600355000000" 97 "R080600355010000" "" "茨大前~栄町12~水戸駅" 3 "6050001006333"
98 "R080600356000000" 99 "R080600356010000" "" "茨大前~五中入口~赤塚駅" 3 "6050001006333"
101 "R080600358000000" 102 "R080600358010000" "" "茨大前~曙町19~赤塚駅" 3 "6050001006333"
103 "R080600359000000" 104 "R080600359010000" "" "茨大前~常磐小5~水戸駅" 3 "6050001006333"
105 "R080600360000000" 106 "R080600360010000" "" "茨大前~新原11~水戸駅" 3 "6050001006333"
107 "R080600361000000" 108 "R080600361010000" "" "茨大前~水戸~東前~大串公園" 3 "6050001006333"
109 "R080600362000000" 110 "R080600362010000" "" "茨大前~水戸駅~アクアワールド" 3 "6050001006333"
111 "R080600363000000" 112 "R080600363010000" "" "茨大前~水戸駅~勝田営業所" 3 "6050001006333"
113 "R080600364000000" 114 "R080600364010000" "" "茨大前~水戸駅~勝田駅前" 3 "6050001006333"
115 "R080600365000000" 116 "R080600365010000" "" "茨大前~水戸駅~大洗~那珂湊駅" 3 "6050001006333"
117 "R080600366020000" 118 "R080600366000000" "" "茨大前~水戸駅~東中根団地" 3 "6050001006333"
117 "R080600366020000" 119 "R080600366010000" "" "茨大前~水戸駅~東中根団地" 3 "6050001006333"
120 "R080600367000000" 121 "R080600367010000" "" "茨大前~水高スクエア27~赤塚" 3 "6050001006333"
122 "R080600368000000" 123 "R080600368010000" "" "茨大前~双葉台~イオン水戸内原" 3 "6050001006333"
124 "R080600369000000" 125 "R080600369010000" "" "茨大前~大洗~FT~那珂湊駅" 3 "6050001006333"
127 "R080600371000000" 128 "R080600371010000" "" "茨大前~大野~平磯中学校下" 3 "6050001006333"
missing_feed_contact_email_and_url WARNING 1

missing_feed_contact_email_and_url

Best Practices for feed_info.txt suggest providing at least one of feed_contact_email and feed_contact_url.

You can see more about this notice here.

csvRowNumber (?) The row number of the validated record.
2
missing_recommended_field WARNING 107

missing_recommended_field

A recommended field is missing.

The given field has no value in some input row, even though values are recommended.

You can see more about this notice here.

Only the first 50 of 107 affected records are displayed below.

filename (?) The name of the faulty file. csvRowNumber (?) The row of the faulty record. fieldName (?) The name of the missing field.
"fare_attributes.txt" 2 "agency_id"
"fare_attributes.txt" 3 "agency_id"
"fare_attributes.txt" 4 "agency_id"
"fare_attributes.txt" 5 "agency_id"
"fare_attributes.txt" 6 "agency_id"
"fare_attributes.txt" 7 "agency_id"
"fare_attributes.txt" 8 "agency_id"
"fare_attributes.txt" 9 "agency_id"
"fare_attributes.txt" 10 "agency_id"
"fare_attributes.txt" 11 "agency_id"
"fare_attributes.txt" 12 "agency_id"
"fare_attributes.txt" 13 "agency_id"
"fare_attributes.txt" 14 "agency_id"
"fare_attributes.txt" 15 "agency_id"
"fare_attributes.txt" 16 "agency_id"
"fare_attributes.txt" 17 "agency_id"
"fare_attributes.txt" 18 "agency_id"
"fare_attributes.txt" 19 "agency_id"
"fare_attributes.txt" 20 "agency_id"
"fare_attributes.txt" 21 "agency_id"
"fare_attributes.txt" 22 "agency_id"
"fare_attributes.txt" 23 "agency_id"
"fare_attributes.txt" 24 "agency_id"
"fare_attributes.txt" 25 "agency_id"
"fare_attributes.txt" 26 "agency_id"
"fare_attributes.txt" 27 "agency_id"
"fare_attributes.txt" 28 "agency_id"
"fare_attributes.txt" 29 "agency_id"
"fare_attributes.txt" 30 "agency_id"
"fare_attributes.txt" 31 "agency_id"
"fare_attributes.txt" 32 "agency_id"
"fare_attributes.txt" 33 "agency_id"
"fare_attributes.txt" 34 "agency_id"
"fare_attributes.txt" 35 "agency_id"
"fare_attributes.txt" 36 "agency_id"
"fare_attributes.txt" 37 "agency_id"
"fare_attributes.txt" 38 "agency_id"
"fare_attributes.txt" 39 "agency_id"
"fare_attributes.txt" 40 "agency_id"
"fare_attributes.txt" 41 "agency_id"
"fare_attributes.txt" 42 "agency_id"
"fare_attributes.txt" 43 "agency_id"
"fare_attributes.txt" 44 "agency_id"
"fare_attributes.txt" 45 "agency_id"
"fare_attributes.txt" 46 "agency_id"
"fare_attributes.txt" 47 "agency_id"
"fare_attributes.txt" 48 "agency_id"
"fare_attributes.txt" 49 "agency_id"
"fare_attributes.txt" 50 "agency_id"
"fare_attributes.txt" 51 "agency_id"
missing_timepoint_value WARNING 96985

missing_timepoint_value

stop_times.timepoint value is missing for a record.

When at least one of stop_times.arrival_time or stop_times.departure_time are provided, stop_times.timepoint should be defined

You can see more about this notice here.

Only the first 50 of 96985 affected records are displayed below.

csvRowNumber (?) The row number of the faulty record. tripId (?) The faulty record's `stop_times.trip_id`. stopSequence (?) The faulty record's `stop_times.stop_sequence`.
2 "T0806000001" 0
3 "T0806000001" 1
4 "T0806000001" 2
5 "T0806000001" 3
6 "T0806000001" 4
7 "T0806000001" 5
8 "T0806000001" 6
9 "T0806000001" 7
10 "T0806000001" 8
11 "T0806000001" 9
12 "T0806000001" 10
13 "T0806000001" 11
14 "T0806000001" 12
15 "T0806000001" 13
16 "T0806000001" 14
17 "T0806000001" 15
18 "T0806000001" 16
19 "T0806000001" 17
20 "T0806000001" 18
21 "T0806000001" 19
22 "T0806000001" 20
23 "T0806000001" 21
24 "T0806000001" 22
25 "T0806000001" 23
26 "T0806000001" 24
27 "T0806000001" 25
28 "T0806000001" 26
29 "T0806000001" 27
30 "T0806000001" 28
31 "T0806000001" 29
32 "T0806000001" 30
33 "T0806000001" 31
34 "T0806000001" 32
35 "T0806000001" 33
36 "T0806000001" 34
37 "T0806000001" 35
38 "T0806000001" 36
39 "T0806000001" 37
40 "T0806000002" 0
41 "T0806000002" 1
42 "T0806000002" 2
43 "T0806000002" 3
44 "T0806000002" 4
45 "T0806000002" 5
46 "T0806000002" 6
47 "T0806000002" 7
48 "T0806000002" 8
49 "T0806000002" 9
50 "T0806000002" 10
51 "T0806000002" 11
mixed_case_recommended_field WARNING 2843

mixed_case_recommended_field

This field has customer-facing text and should use Mixed Case (should contain upper and lower case letters).

This field contains customer-facing text and should use Mixed Case (upper and lower case letters) to ensure good readability when displayed to riders. Avoid the use of abbreviations throughout the feed (e.g. St. for Street) unless a location is called by its abbreviated name (e.g. “JFK Airport”). Abbreviations may be problematic for accessibility by screen reader software and voice user interfaces.

Good examples:
Field Text Dataset
"Schwerin, Hauptbahnhof" Verkehrsverbund Berlin-Brandenburg
"Red Hook/Atlantic Basin" NYC Ferry
"Campo Grande Norte" Carris
Bad examples:
Field Text
"GALLERIA MALL"
"3427 GG 17"
"21 Clark Rd Est"

You can see more about this notice here.

Only the first 50 of 2843 affected records are displayed below.

filename (?) Name of the faulty file. fieldName (?) Name of the faulty field. fieldValue (?) Faulty value. csvRowNumber (?) The row number of the faulty record.
"trips.txt" "trip_short_name" "19系統" 2
"trips.txt" "trip_short_name" "19系統" 3
"trips.txt" "trip_short_name" "19系統" 4
"trips.txt" "trip_short_name" "19系統" 5
"trips.txt" "trip_short_name" "19系統" 6
"trips.txt" "trip_short_name" "19系統" 7
"trips.txt" "trip_short_name" "19系統" 8
"trips.txt" "trip_short_name" "19系統" 9
"trips.txt" "trip_short_name" "19系統" 10
"trips.txt" "trip_short_name" "19系統" 11
"trips.txt" "trip_short_name" "19系統" 12
"trips.txt" "trip_short_name" "19系統" 13
"trips.txt" "trip_short_name" "19系統" 14
"trips.txt" "trip_short_name" "19系統" 15
"trips.txt" "trip_short_name" "19系統" 16
"trips.txt" "trip_short_name" "19系統" 17
"trips.txt" "trip_short_name" "19系統" 18
"trips.txt" "trip_short_name" "19系統" 19
"trips.txt" "trip_short_name" "19系統" 20
"trips.txt" "trip_short_name" "19系統" 21
"trips.txt" "trip_short_name" "19系統" 22
"trips.txt" "trip_short_name" "19系統" 23
"trips.txt" "trip_short_name" "19系統" 24
"trips.txt" "trip_short_name" "19系統" 25
"trips.txt" "trip_short_name" "19系統" 26
"trips.txt" "trip_short_name" "19系統" 27
"trips.txt" "trip_short_name" "19系統" 28
"trips.txt" "trip_short_name" "19系統" 29
"trips.txt" "trip_short_name" "19系統" 30
"trips.txt" "trip_short_name" "19系統" 31
"trips.txt" "trip_short_name" "19系統" 32
"trips.txt" "trip_short_name" "19系統" 33
"trips.txt" "trip_short_name" "19系統" 34
"trips.txt" "trip_short_name" "19系統" 35
"trips.txt" "trip_short_name" "19系統" 36
"trips.txt" "trip_short_name" "19系統" 37
"trips.txt" "trip_short_name" "19系統" 38
"trips.txt" "trip_short_name" "19系統" 39
"trips.txt" "trip_short_name" "19系統" 40
"trips.txt" "trip_short_name" "19系統" 41
"trips.txt" "trip_short_name" "19系統" 42
"trips.txt" "trip_short_name" "19系統" 43
"trips.txt" "trip_short_name" "19系統" 44
"trips.txt" "trip_short_name" "19系統" 45
"trips.txt" "trip_short_name" "19系統" 46
"trips.txt" "trip_short_name" "19系統" 47
"trips.txt" "trip_short_name" "19系統" 48
"trips.txt" "trip_short_name" "19系統" 49
"trips.txt" "trip_short_name" "19系統" 50
"trips.txt" "trip_short_name" "1系統" 51
service_has_no_active_day_of_the_week WARNING 3

service_has_no_active_day_of_the_week

A service is not valid for any day of the week.

You can see more about this notice here.

csvRowNumber (?) The row number in calendar.txt where the error occurs. serviceId (?) The service_id field value.
26 "S000044"
28 "S000046"
36 "S000054"
big_gap_in_service INFO 6

big_gap_in_service

A service has a gap of more than 13 days between active service dates.

You can see more about this notice here.

serviceId (?) The service_id that has the gap. gapStartDate (?) The first day of the gap. gapEndDate (?) The last day of the gap. gapDurationDays (?) The number of days in the gap.
"S000016" "2026-09-29" "2026-11-04" 35
"S000016" "2026-12-22" "2027-01-12" 20
"S000017" "2026-09-29" "2026-11-02" 33
"S000044" "2026-09-29" "2026-11-04" 35
"S000047" "2026-09-29" "2026-11-01" 32
"S000057" "2026-09-29" "2026-11-01" 32
trip_headsign_matches_intermediate_stop INFO 137

trip_headsign_matches_intermediate_stop

Trip headsign matches the name of an intermediate stop, not the last stop.

The trip_headsign matches the stop_name of a stop that is not the last stop of the trip. This may confuse passengers boarding after that stop, since the headsign suggests the vehicle is heading to a stop it has already passed.

You can see more about this notice here.

Only the first 50 of 137 affected records are displayed below.

csvRowNumber (?) The row number of the faulty record in `trips.txt`. tripId (?) The id of the trip with the problematic headsign. tripHeadsign (?) The headsign value that matches an intermediate stop name. stopId1 (?) The id of the intermediate stop whose name matches the headsign. stopSequence (?) The stop_sequence value of the intermediate stop that matches the headsign. stopId2 (?) The id of the actual last stop of the trip.
81 "T0806000140" "多賀駅前" "S080600184400000" 0 "S080600184400001"
82 "T0806000141" "多賀駅前" "S080600184400000" 0 "S080600184400001"
83 "T0806000142" "多賀駅前" "S080600184400000" 0 "S080600184400001"
84 "T0806000143" "多賀駅前" "S080600184400000" 0 "S080600184400001"
632 "T0806001054" "イオンモール水戸内原" "S080600000100000" 0 "S080600000100001"
633 "T0806001055" "イオンモール水戸内原" "S080600000100000" 0 "S080600000100001"
634 "T0806001056" "イオンモール水戸内原" "S080600000100000" 0 "S080600000100001"
635 "T0806001057" "イオンモール水戸内原" "S080600000100000" 0 "S080600000100001"
636 "T0806001058" "イオンモール水戸内原" "S080600000100000" 0 "S080600000100001"
637 "T0806001063" "イオンモール水戸内原" "S080600000100000" 0 "S080600000100001"
638 "T0806001073" "イオンモール水戸内原" "S080600000100000" 0 "S080600000100001"
1476 "T0806002481" "浜田営業所" "S080600019400001" 46 "S080600019400000"
1477 "T0806002482" "浜田営業所" "S080600019400001" 46 "S080600019400000"
1478 "T0806002483" "浜田営業所" "S080600019400001" 46 "S080600019400000"
1479 "T0806002484" "浜田営業所" "S080600019400001" 46 "S080600019400000"
1480 "T0806002485" "浜田営業所" "S080600019400001" 46 "S080600019400000"
1572 "T0806002610" "浜田営業所" "S080600019400001" 34 "S080600019400000"
1573 "T0806002611" "浜田営業所" "S080600019400001" 34 "S080600019400000"
1574 "T0806002612" "浜田営業所" "S080600019400001" 34 "S080600019400000"
1575 "T0806002613" "浜田営業所" "S080600019400001" 34 "S080600019400000"
1576 "T0806002614" "浜田営業所" "S080600019400001" 34 "S080600019400000"
1577 "T0806002615" "浜田営業所" "S080600019400001" 34 "S080600019400000"
1578 "T0806002616" "浜田営業所" "S080600019400001" 34 "S080600019400000"
1579 "T0806002617" "浜田営業所" "S080600019400001" 34 "S080600019400000"
1580 "T0806002618" "浜田営業所" "S080600019400001" 34 "S080600019400000"
1581 "T0806002619" "浜田営業所" "S080600019400001" 34 "S080600019400000"
1582 "T0806002620" "浜田営業所" "S080600019400001" 34 "S080600019400000"
1583 "T0806002621" "浜田営業所" "S080600019400001" 34 "S080600019400000"
1584 "T0806002622" "浜田営業所" "S080600019400001" 34 "S080600019400000"
1585 "T0806002623" "浜田営業所" "S080600019400001" 34 "S080600019400000"
1586 "T0806002624" "浜田営業所" "S080600019400001" 34 "S080600019400000"
1587 "T0806002631" "浜田営業所" "S080600019400001" 34 "S080600019400000"
1588 "T0806002632" "浜田営業所" "S080600019400001" 34 "S080600019400000"
1589 "T0806002639" "浜田営業所" "S080600019400001" 34 "S080600019400000"
1590 "T0806002640" "浜田営業所" "S080600019400001" 34 "S080600019400000"
1591 "T0806002641" "浜田営業所" "S080600019400001" 34 "S080600019400000"
1592 "T0806002642" "浜田営業所" "S080600019400001" 34 "S080600019400000"
1593 "T0806002643" "浜田営業所" "S080600019400001" 34 "S080600019400000"
1601 "T0806002653" "浜田営業所" "S080600019400001" 11 "S080600019400000"
1602 "T0806002654" "浜田営業所" "S080600019400001" 11 "S080600019400000"
1603 "T0806002656" "浜田営業所" "S080600019400001" 11 "S080600019400000"
1604 "T0806002657" "浜田営業所" "S080600019400001" 11 "S080600019400000"
1605 "T0806002658" "浜田営業所" "S080600019400001" 11 "S080600019400000"
1678 "T0806002812" "勝田駅前" "S080600007600000" 0 "S080600007600001"
1679 "T0806002813" "勝田駅前" "S080600007600000" 0 "S080600007600001"
1680 "T0806002814" "勝田駅前" "S080600007600000" 0 "S080600007600001"
1681 "T0806002815" "勝田駅前" "S080600007600000" 0 "S080600007600001"
1682 "T0806002816" "勝田駅前" "S080600007600000" 0 "S080600007600001"
1683 "T0806002817" "勝田駅前" "S080600007600000" 0 "S080600007600001"
1684 "T0806002818" "勝田駅前" "S080600007600000" 0 "S080600007600001"
unknown_column INFO 6

unknown_column

A column name is unknown.

You can see more about this notice here.

filename (?) The name of the faulty file. fieldName (?) The name of the unknown column. index (?) The index of the faulty column.
"translations.txt" "trans_id" 1
"translations.txt" "lang" 2
"trips.txt" "jp_trip_desc" 11
"trips.txt" "jp_trip_desc_symbol" 12
"trips.txt" "jp_office_id" 13
"routes.txt" "jp_parent_route_id" 10
unknown_file INFO 3

unknown_file

A file is unknown.

You can see more about this notice here.

filename (?) The name of the unknown file.
"pass_attributes.txt"
"pass_rules.txt"
"agency_jp.txt"